Data Engineering Jobs

Palantir Technologies · Sydney, Australia

Forward Deployed Software Engineers embed with government customers to understand open-ended problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive briefings. Interns work in small teams with minimal supervision and own end-to-end delivery of high-stakes projects, using languages such as Python, Java, C++ or TypeScript.

Palantir Technologies · Honolulu, United States · US$10,000 pa

Forward Deployed Software Engineers embed with government customers to scope open-ended data problems and build solutions on Palantir's platforms. Work spans architecture discussions, large-scale data wrangling, custom web apps and executive briefings, with significant ownership and travel to client sites 25-50% of the time.

TXP · London

Builds BigQuery pipelines on Google Cloud that turn set-top-box viewing feeds into exposure tables, including finishing a half-built one. Creates privacy-safe joins between exposure data and partner outcome data (card spending, web visits) in BigQuery and Snowflake clean rooms, working directly with partners' data teams. Day-to-day work with coding agents like Claude Code is expected.

Prize Placements · Watford · £65,000 – £70,000 pa

Hands-on backend data engineering role owning ELT/ETL pipelines that ingest from REST APIs, databases and flat files into Snowflake. You'll build Python ingestion and automation scripts, configure Fivetran or Meltano/Singer connectors, optimise advanced SQL, and implement monitoring, alerting and data quality checks, with scope to shape a possible move toward Azure/Microsoft Fabric.

Capital One · Lincoln

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data StewardOur MissionWe’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital...

Capital One · Loughborough

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data StewardOur MissionWe’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital...

TRIA · London · £70,000 – £78,000 pa

Lead data specialist owning the organisation's Snowflake platform, designing and optimising ETL/ELT pipelines and integrations across multiple business systems. Defines data architecture, governance and security standards while shaping the long-term data roadmap with senior technology leadership. A hands-on role building a modern data capability in-house, with mentoring responsibilities but no large existing team.

ZENZO DIGITAL · Peterborough · £55,000 – £62,000 pa

You will maintain and optimise on-prem SQL Server and Oracle databases while leading the migration of workloads to a Snowflake cloud platform. The role blends DBA-style support, advanced SQL tuning, and building scalable ETL/ELT pipelines, acting as the go-to technical specialist across Data & Tech, operations and suppliers.

First Military Recruitment · United Kingdom

Leads the design and implementation of complex data flows, pipelines and integrations to support an enterprise AI buildout, setting data engineering best practices and ensuring data readiness and security. Bridges technical engineering partners and business leads, translating data risks into clear choices for stakeholders. Requires SC clearance and works remotely on a contract until 30/04/2027.

Grafana Labs · United Kingdom · £123,000 – £148,000 pa

Customer-facing product expert partnering with Sales to run demos, technical evaluations and enablement for Grafana Cloud prospects. Owns the technical engagement to close complex observability deals, feeding customer insight back to Product and Engineering. Requires 5+ years of technical pre-sales and UK location.

Syntax Consultancy · Leeds · £500 – £550 pd

Hands-on Data Engineer to run and maintain production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Involves incident investigation, root cause analysis, permanent remediation, and performance troubleshooting across Spark SQL, Delta Lake, Parquet and Hive metastore tables. Works on a large-scale Government project within a hybrid model, mostly remote with occasional Leeds office travel.

Syntax Consultancy · Leeds · £60,000 – £65,000 pa

Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.

Grafana Labs · United Kingdom · £103,958 – £124,750 pa

Builds and operates multi-tenant SaaS databases (Mimir, Loki, Tempo, Pyroscope) across AWS, GCP and Azure, writing production code and automation to make them self-healing and scalable. Owns the SLO framework, leads incident response and customer bridge calls for highest-SLA customers, and sets technical direction across squads. Includes weekday 12-hour on-call shifts and a weekend rotation roughly every six to eight weeks.

eFinancialCareers · London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.

eFinancialCareers · London · £550 – £700 pd

Hands-on contract bridging fund accounting and technology during a Real Estate finance platform upgrade. You will map how accounting and investment data flows, interrogate large financial datasets with SQL Server/T-SQL, and build migration and reconciliation processes, supporting testing and conversion while resolving data discrepancies across funds, entities and reporting periods.